Evaluation of SLA Negotiation for Personalized SDN Service Delivery

Khan, S; Hussain, FK

Evaluation of SLA Negotiation for Personalized SDN Service Delivery

Khan, S Hussain, FK

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Publisher:: Springer International Publishing
Publication Type:: Conference Proceeding
Citation:: Advanced Information Networking and Applications, 2020, 1151, pp. 579-590
Issue Date:: 2020-01-01

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Field	Value	Language
dc.contributor.author	Khan, S
dc.contributor.author	Hussain, FK
dc.date	2020-04-15
dc.date.accessioned	2021-05-20T03:01:49Z
dc.date.available	2021-05-20T03:01:49Z
dc.date.issued	2020-01-01
dc.identifier.citation	Advanced Information Networking and Applications, 2020, 1151, pp. 579-590
dc.identifier.isbn	9783030440404
dc.identifier.issn	2194-5357
dc.identifier.issn	2194-5365
dc.identifier.uri	http://hdl.handle.net/10453/149001
dc.description.abstract	Ensuring the quality of services (QoS) is crucial in a service-oriented business model. A service level agreement (SLA) is an important agreement between a consumer and a provider and is a key element in ensuring QoS. Service negotiation occurs in an initial stage of the SLA where service requirements are agreed upon to avoid conflict situations. Guaranteeing QoS is one of the key challenges in software defined networking (SDN). Several intelligent solutions have been proposed, however most of them are application focused and are unable to provide personalized and reliable QoS delivery in SDN. This paper presents a reputation data-driven SLA negotiation framework that provides personalized and reliable service delivery in SDN and assists in QoS management for informed decision making. In addition, a fuzzy inference system (FIS) is used to implement the framework and the results are discussed in this paper.
dc.language	en
dc.publisher	Springer International Publishing
dc.relation.ispartof	Advanced Information Networking and Applications
dc.relation.ispartof	International Conference on Advanced Information Networking and Applications
dc.relation.ispartofseries	Advances in Intelligent Systems and Computing
dc.relation.isbasedon	10.1007/978-3-030-44041-1_52
dc.rights	info:eu-repo/semantics/closedAccess
dc.title	Evaluation of SLA Negotiation for Personalized SDN Service Delivery
dc.type	Conference Proceeding
utslib.citation.volume	1151
utslib.location.activity	Italy
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Strength - AAII - Australian Artificial Intelligence Institute
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Computer Science
utslib.copyright.status	closed_access	*
pubs.consider-herdc	false
dc.date.updated	2021-05-20T03:01:48Z
pubs.finish-date	2020-04-17
pubs.publication-status	Published
pubs.start-date	2020-04-15
pubs.volume	1151

Abstract:

Ensuring the quality of services (QoS) is crucial in a service-oriented business model. A service level agreement (SLA) is an important agreement between a consumer and a provider and is a key element in ensuring QoS. Service negotiation occurs in an initial stage of the SLA where service requirements are agreed upon to avoid conflict situations. Guaranteeing QoS is one of the key challenges in software defined networking (SDN). Several intelligent solutions have been proposed, however most of them are application focused and are unable to provide personalized and reliable QoS delivery in SDN. This paper presents a reputation data-driven SLA negotiation framework that provides personalized and reliable service delivery in SDN and assists in QoS management for informed decision making. In addition, a fuzzy inference system (FIS) is used to implement the framework and the results are discussed in this paper.

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http://hdl.handle.net/10453/149001